TY - JOUR
T1 - A statistical assembled model for segmentation of entire 3D vasculature
AU - Feng, Jun
AU - Ip, Horace H. S.
PY - 2006
Y1 - 2006
N2 - We introduce a novel statistical deformable model called SAMTUS for the segmentation of soft tissue tubular structures. The model is composed of an assembly of statistically deformable tubular segments whereby the junctions of the tubular branches are used as landmarks for constructing the underlying point distribution model. The flexibility of SAMTUS is governed by two independent statistical models that describe the axis variation (Statistical Axis Model, or SAM) and the cross-sectional radius variation (Statistical Surface Model, or SSM) respectively. We also propose a SAMTUS based segmentation algorithm for an entire tubular structure. The approach has been applied to the segmentation of the three-dimensional vasculature of zebrafish embryo. The efficiency and robustness of this method is evaluated through quantification results on both sectional level and volumetric level. © 2006 IEEE.
AB - We introduce a novel statistical deformable model called SAMTUS for the segmentation of soft tissue tubular structures. The model is composed of an assembly of statistically deformable tubular segments whereby the junctions of the tubular branches are used as landmarks for constructing the underlying point distribution model. The flexibility of SAMTUS is governed by two independent statistical models that describe the axis variation (Statistical Axis Model, or SAM) and the cross-sectional radius variation (Statistical Surface Model, or SSM) respectively. We also propose a SAMTUS based segmentation algorithm for an entire tubular structure. The approach has been applied to the segmentation of the three-dimensional vasculature of zebrafish embryo. The efficiency and robustness of this method is evaluated through quantification results on both sectional level and volumetric level. © 2006 IEEE.
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U2 - 10.1109/ICPR.2006.177
DO - 10.1109/ICPR.2006.177
M3 - RGC 22 - Publication in policy or professional journal
SN - 1051-4651
VL - 4
SP - 95
EP - 98
JO - Proceedings - International Conference on Pattern Recognition
JF - Proceedings - International Conference on Pattern Recognition
M1 - 1699791
T2 - 18th International Conference on Pattern Recognition, ICPR 2006
Y2 - 20 August 2006 through 24 August 2006
ER -